Principal GenAI Software Engineer Job at T-Mobile (Bellevue)

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...

Location

United States , New York

Salary:

250000.00 - 290000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure
At least 5 years of experience with various AI technologies including GenAI, ML, Deep Learning, RPA or others
Proven ability to scale AI capabilities into high-throughput, low-latency environments
Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.)
Experience leading AI strategy and platform adoption in enterprise-scale environments
Skilled at translating regulatory and compliance requirements into responsible AI practices
Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives
Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners
Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners

Job Responsibility

Define and scale CLEAR’s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications
Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices
Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time
Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows
Influence cross-functional stakeholders across the business, fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors
Lead the AI Governance group and drive best practices across business functions
Track and optimize KPIs on AI adoption, model performance, scalability, and business impact

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches every day
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Principal Architect – GenAI & Enterprise Automation

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Typically 10+ years' experience
Experience designing and developing software systems design tools and languages
Experience in overall architecture of software systems for products and solutions
Designing and integrating software systems running on multiple platform types into overall architecture
Evaluating and selecting forms and processes for software systems testing and methodology
History of innovation with multiple patents or deployed solutions in the field of software design
Excellent written and verbal communication skills
mastery in English and local language
Deep expertise in Copilot, Azure OpenAI, Power Platform, and LLMs

Job Responsibility

Develops organization-wide architectures and methodologies for software systems design and development
Identifies and evaluates new technologies, innovations, and outsourced development partner relationships
Reviews and evaluates designs and project activities for compliance with development guidelines and standards
Provides guidance and mentoring to less-experienced staff members
Integrate with organizational data and workflows for Copilot
Establish Prompt Engineering Frameworks with Copilot
Enable custom Copilots with internal knowledge, fine-tuned LLMs, and responsible usage practices
Enable Agentic Automation with Federated Governance model
Lead scalable automation through reusable components, design principles, and CoE enablement
Create accelerators, secure connectors, and templates to maximize reuse

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Senior Principal Cloud Developer

The role involves designing and building innovative Agentic AI applications and ...

Location

United States , San Jose

Salary:

157500.00 - 361500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

10-15 years of experience in developing highly scalable cloud and cloud-native applications using technology stacks, architecture, design, development, and support
at least one year of recent multi-agent Agentic and RAG GenAI Software Development experience applied to Networking and/or Observability domains
experience developing Network Observability software for large scale Network Monitoring, Network Performance, Network Configuration or Network Capacity Management products
deep understanding and experience in Networking Protocol and Networking Best Practices for Enterprise and Service Provider networks
proven skills and programming experience in Golang, scalable concurrent processing, REST, Data Caching Services, DB schema design and data access technologies
experience in building, orchestrating, and deploying highly scalable REST based stateless APIs/web services for web applications in Kubernetes environment
familiarity with code versioning tools such as Git
knowledge of Network and NetFlow Logs processing and indexing
ability to communicate with senior Executives and with customers

Job Responsibility

design and build large scale distributed systems
apply best practices for high availability, scalability, resilience, performance, and security requirements in the cloud
transition proof-of-concept implementations into R&D teams to accelerate new product delivery
create technical content such as designs, specifications, and initial software implementations
mentor less-experienced staff members
collect product feedback from field interactions to provide input into Engineering and Product Management
maintain knowledge of OpsRamp SaaS product and roadmap, as well as competition
collaborate with product team to translate functional requirements into technical solutions
develop monitoring solutions using tools and services that are part of the cloud infrastructure
facilitate CI/CD by integrating development processes

What we offer

comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
personal and professional development programs
unconditional inclusion and flexibility to manage work and personal needs

Fulltime

Principal Software GenAI Engineer

With this role you’ll be at the heart of an exciting journey, crafting tools and...

Location

Salary:

Not provided

SNI sp. z o.o.

Expiration Date

Until further notice

Requirements

Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments
Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture
Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments
Proven track record designing and operationalised end-to-end MLOps pipelines with tools such as MLflow, SageMaker Pipelines, or equivalent frameworks
Extensive experience building and operating containerised applications using Docker and Kubernetes, including production-grade orchestration and monitoring
Deep experience with CI/CD best practices with hands-on expertise in GitHub Actions, Jenkins, and GitOps workflows
Strong knowledge of advanced DevOps concepts, including progressive delivery strategies (blue/green, canary), resilience engineering, and performance optimisation
Deep understanding of cloud security, governance, and compliance, with the ability to define and implement scalable security frameworks
Proven ability to drive cross-functional technical initiatives, influence without authority, and deliver results through collaboration and alignment
In-dept understanding of the ML lifecycle, with practical experience deploying and managing LLMs and generative AI models in production

Job Responsibility

Lead the design, development, and evolution of robust tooling and platforms to support scalable Data Science, MLOps, and LLMOps workflows across the organisation
Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services
Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments
Design and support CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance
Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health
Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance practices
Support architectural decisions for scalable and maintainable systems, collaborating with engineering and product stakeholders to align with business and technical goals
Partner with architects, product leaders, and stakeholders to shape the long-term technical vision and system architecture
Apply and advocate for security best practices across the software development lifecycle using AWS-native tools and DevSecOps principles
Cultivate a high-performing engineering culture through mentorship, knowledge sharing, and thought leadership via deep dives, brown bags, internal tech talks, and cross-team collaboration

Fulltime

Principal Software Engineer

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, TypeScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Lead the design and delivery of core Application Insights capabilities for GenAI and agentic applications, shaping how developers observe, troubleshoot, and improve non deterministic systems at scale
Drive architecture and technical direction across high throughput cloud scale services, ensuring reliability, performance, security, and cost efficiency as workloads and signals continue to evolve
Own end to end experiences that combine UX and platform capabilities, translating complex telemetry (traces, prompts, evaluations, tool calls) into clear, actionable insights for developers and operators
Collaborate across Azure Data, Azure Monitor, and partner teams to align on long term platform strategy, open standards, and shared investments that enable GenAI observability as a first-class Azure capability
Raise the engineering bar through thoughtful design, code quality, and operational rigor, helping the team make sound technical decisions while balancing innovation with enterprise grade requirements
Mentor and influence other engineers, providing technical leadership through design reviews, architectural guidance, and hands on collaboration, without relying on formal authority

Fulltime

Principal Software Engineer - AI

Dynamics 365 is Microsoft’s suite of enterprise software that power many of the ...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
6+ years of experience with GenAI, LLMs, or agentic systems
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring
Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with MLOps and DevOps practices
Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning
Ensure high reliability and performance of applications and services through intelligent monitoring, alerting, and proactive failover strategies
Build and debug production-grade code in distributed systems using C#, Azure

Fulltime

Principal Software Engineering Manager - Data Science & Engineering

The MSRC Data Science team is responsible in building data pipelines, data minin...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same
Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI
Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others
Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production
Guides team to perform machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared
Guides the architecture of scalable pipelines and datasets
Influences the direction of the team
Begins to anticipate potential data pipeline issues and provides solutions

Fulltime

Head of Programs & Instruction (AI-Integrated Learning)

Deliver job-ready outcomes in 4–6 months while meeting university-level quality ...

Location

Salary:

Not provided

Claim Academy

Expiration Date

Until further notice

Requirements

10+ years in tech + education
Former: Engineering leader
Former: Principal technologist
Former: Academic program director
Experience with: Project-based learning
Experience with: Competency-based assessment
Experience with: Adult learners
Active, recent industry experience
Hands‑on use of AI‑enabled tools
Strong communication and mentoring skills

Job Responsibility

Own curriculum quality across all programs: AI / GenAI
Cybersecurity
Cloud & DevOps
Software Engineering
Data & GIS
Recruit, train, and manage instructors & mentors
Ensure curriculum stays current with AI-era tools
Define assessment standards: Capstones
Portfolios
Skills validation

Principal GenAI Software Engineer

T-Mobile

Location:
United States , Bellevue

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 05, 2026

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